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  <titleInfo>
    <title>Application of AI to mobile network operation</title>
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  <name type="personal">
    <namePart>Otani, Tomoyuki</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Toube, Hideki</namePart>
  </name>
  <name type="personal">
    <namePart>Kimura, Tatsuya</namePart>
  </name>
  <name type="personal">
    <namePart>Furutani, Masanori</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Geneva</placeTerm>
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    <publisher>International Telecommunication Union</publisher>
    <dateIssued>2017</dateIssued>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will offer more diversified services and be more complex. This raises a concern about a significant rise in network operation workload. Meanwhile, artificial intelligence (AI) technology is making remarkable progress and is expected to solve human resource shortages in various fields. Likewise, the mobile industry is gaining momentum toward the application of AI to network operation to improve the efficiency of mobile network operation [1][2].This paper will discuss the possibility of applying AI technology to network operation and presents some use cases to show good prospects for AI-driven network operation.</abstract>
  <note type="statement of responsibility">Tomoyuki Otani ... [el al.]</note>
  <subject authority="lcsh">
    <topic>Tecnologías habilitadoras digitales</topic>
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  <subject>
    <topic>Science and Technology</topic>
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      <title>ITU Journal: ICT Discoveries</title>
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    <identifier type="issn">2616-8375</identifier>
    <part>
      <text>Vol. 2018, no. 1, p. 59-65</text>
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        <number>2018</number>
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        <start>59</start>
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  <identifier type="uri">https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-7-PDF-E.pdf</identifier>
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    <url displayLabel="Acceso al documento">https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-7-PDF-E.pdf</url>
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